mirror of https://github.com/hpcaitech/ColossalAI
b9a8dff7e5
* Fixed several spelling errors under colossalai * Fix the spelling error in colossalai and docs directory * Cautious Changed the spelling error under the example folder * Update runtime_preparation_pass.py revert autograft to autograd * Update search_chunk.py utile to until * Update check_installation.py change misteach to mismatch in line 91 * Update 1D_tensor_parallel.md revert to perceptron * Update 2D_tensor_parallel.md revert to perceptron in line 73 * Update 2p5D_tensor_parallel.md revert to perceptron in line 71 * Update 3D_tensor_parallel.md revert to perceptron in line 80 * Update README.md revert to resnet in line 42 * Update reorder_graph.py revert to indice in line 7 * Update p2p.py revert to megatron in line 94 * Update initialize.py revert to torchrun in line 198 * Update routers.py change to detailed in line 63 * Update routers.py change to detailed in line 146 * Update README.md revert random number in line 402 |
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README.md
Pipeline Parallelism Demo with GPT2
Requirements
Before you can launch training, you need to install the following requirements.
Install PyTorch
#conda
conda install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 cudatoolkit=11.3 -c pytorch
#pip
pip install torch==1.12.0+cu113 torchvision==0.13.0+cu113 torchaudio==0.12.0 --extra-index-url https://download.pytorch.org/whl/cu113
Install Colossal-AI v0.2.0 From Official Website
pip install colossalai==0.2.0+torch1.12cu11.3 -f https://release.colossalai.org
Install transformers
pip install transformers
Dataset
For simplicity, the input data is randomly generated here.
Training
#Run the Pipeline Parallel on GPT with default setting and a dummy dataset.
#You can change the GPU number or microbatch number in the run.sh .
bash run.sh